ChatGPT burst onto the scene in November 2022 and we have since seen the release of GPT-4, as well as a number of other state-of-the-art models. The rate of progress in Generative AI, which describes the use of deep-learning models to create new content, including text, images, code, audio, simulations, and videos, is rapid. By training over vast quantities of content, and learning patterns using architectures with billions of parameters, the latest models are becoming increasingly capable of producing realistic outputs.
In our latest paper, we conduct an in-depth review of Generative AI’s capabilities, its potential impact on the global economy, including its influence on the realm of asset management, and we consider what the next frontier might look like.
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